TMVA::DNN::TDLGradientDescent< Architecture_t > Member List

This is the complete list of members for TMVA::DNN::TDLGradientDescent< Architecture_t >, including all inherited members.

DeepNet_t typedef	TMVA::DNN::TDLGradientDescent< Architecture_t >
fBatchSize	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fConvergenceCount	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fConvergenceSteps	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fLearningRate	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fMinimumError	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fStepCount	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fTestError	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fTestInterval	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
fTrainingError	TMVA::DNN::TDLGradientDescent< Architecture_t >	private
GetConvergenceCount() const	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
GetConvergenceSteps() const	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
GetTestError() const	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
GetTestInterval() const	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
GetTrainingError() const	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
HasConverged()	TMVA::DNN::TDLGradientDescent< Architecture_t >
HasConverged(Scalar_t testError)	TMVA::DNN::TDLGradientDescent< Architecture_t >
Matrix_t typedef	TMVA::DNN::TDLGradientDescent< Architecture_t >
Reset()	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
Scalar_t typedef	TMVA::DNN::TDLGradientDescent< Architecture_t >
SetBatchSize(Scalar_t rate)	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
SetConvergenceSteps(size_t steps)	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
SetLearningRate(Scalar_t rate)	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
SetTestInterval(size_t interval)	TMVA::DNN::TDLGradientDescent< Architecture_t >	inline
Step(DeepNet_t &deepNet, std::vector< Matrix_t > &input, const Matrix_t &output, const Matrix_t &weights)	TMVA::DNN::TDLGradientDescent< Architecture_t >
Step(DeepNet_t &master, std::vector< DeepNet_t > &nets, std::vector< TTensorBatch< Architecture_t > > &batches)	TMVA::DNN::TDLGradientDescent< Architecture_t >
StepLoss(DeepNet_t &deepNet, std::vector< Matrix_t > &input, const Matrix_t &output, const Matrix_t &weights)	TMVA::DNN::TDLGradientDescent< Architecture_t >
StepMomentum(DeepNet_t &master, std::vector< DeepNet_t > &nets, std::vector< TTensorBatch< Architecture_t > > &batches, Scalar_t momentum)	TMVA::DNN::TDLGradientDescent< Architecture_t >
StepNesterov(DeepNet_t &master, std::vector< DeepNet_t > &nets, std::vector< TTensorBatch< Architecture_t > > &batches, Scalar_t momentum)	TMVA::DNN::TDLGradientDescent< Architecture_t >
StepReducedWeights(DeepNet_t &deepNet, std::vector< Matrix_t > &input, const Matrix_t &output, const Matrix_t &weights)	TMVA::DNN::TDLGradientDescent< Architecture_t >
StepReducedWeightsLoss(DeepNet_t &deepNet, std::vector< Matrix_t > &input, const Matrix_t &output, const Matrix_t &weights)	TMVA::DNN::TDLGradientDescent< Architecture_t >
TDLGradientDescent()	TMVA::DNN::TDLGradientDescent< Architecture_t >
TDLGradientDescent(Scalar_t learningRate, size_t convergenceSteps, size_t testInterval)	TMVA::DNN::TDLGradientDescent< Architecture_t >